Book Image

Mastering Social Media Mining with Python

By : Marco Bonzanini
Book Image

Mastering Social Media Mining with Python

By: Marco Bonzanini

Overview of this book

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.
Table of Contents (10 chapters)


In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Moreover, the genre attribute is here presented as a list, with a variable number of values."

A block of code is set as follows:

from timeit import timeit 
import numpy as np 
if __name__ == '__main__': 
  setup_sum = 'data = list(range(10000))' 
  setup_np = 'import numpy as np;' 
  setup_np += 'data_np = np.array(list(range(10000)))'

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

Type your question, or type "exit" to quit. 
> What's up with Gandalf and Frodo lately? They haven't been in the Shire for a while... 
Question: What's up with Gandalf and Frodo lately? They haven't been in the Shire for a while... 
Predicted labels: plot-explanation, the-lord-of-the-rings

Any command-line input or output is written as follows:

$ pip install --upgrade [package name]

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "On the Keys and Access Tokens configuration page, the developer can find the API key and secret, as well as the access token and access token secret."


Warnings or important notes appear in a box like this.


Tips and tricks appear like this.